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Wilhelm A.F.X., Kestler H.A. (Eds.) Analysis of Large and Complex Data

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Wilhelm A.F.X., Kestler H.A. (Eds.) Analysis of Large and Complex Data
Springer, 2016. — 640 p. — (Studies in Classification, Data Analysis, and Knowledge). — ISBN: 9783319252247 EISBN 9783319252261
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science.
The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.
Latent Variables and Marketing Theory: The Paradigm Shift
Business Intelligence in the Context of Integrated Care Systems (ICS): Experiences from the ICS “Gesundes Kinzigtal” in Germany
Clustering and a Dissimilarity Measure for Methadone Dosage Time Series
Linear Storage and Potentially Constant Time Hierarchical Clustering Using the Baire Metric and Random Spanning Paths
Selection Stability as a Means of Biomarker Discovery in Classification
Active Multi-Instance Multi-Label Learning
Bottom-Up Variable Selection in Cluster Analysis Using Bootstrapping: A Proposal
A Comparison Study for Spectral, Ensemble and Spectral-Mean Shift Clustering Approaches for Interval-Valued Symbolic Data
Supervised Pre-processings Are Useful for Supervised Clustering
Similarity Measures on Concept Lattices
Multivariate Functional Regression Analysis with Application to Classification Problems
Incremental Generalized Canonical Correlation Analysis
Assessing the Reliability of a Multi-Class Classifier
Reviewing Graphical Modeling of Multivariate Temporal Processes
The Weight of Penalty Optimization for Ridge Regression
Evaluation of the Individually Perceived Quality from Head-Up Display Images Relating to Distortions
The Identification of Relations Between Smart Specialization and Sensitivity to Crisis in the European Union Regions
Excess Takeover Premiums and Bidder Contests in Merger & Acquisitions: New Methods for Determining Abnormal Offer Prices
Firm-Specific Determinants on Dividend Changes: Insights from Data Mining
Selection of Balanced Structure Samples in Corporate Bankruptcy Prediction
An Ensemble of Optimal Trees for Class Membership Probability Estimation
Ensemble of Subset of k-Nearest Neighbours Models for Class Membership Probability Estimation
Comparing Audio Features and Playlist Statistics for Music Classification
Duplicate Detection in Facsimile Scans of Early Printed Music
Fast Model Based Optimization of Tone Onset Detection by Instance Sampling
Recognition of Leitmotives in Richard Wagner’s Music: An Item Response Theory Approach
Optimization of a Simulation for Inhomogeneous Mineral Subsoil Machining
Fast and Robust Isosurface Similarity Maps Extraction Using Quasi-Monte Carlo Approach
Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component
Information Theoretic Measures for Ant Colony Optimization
CFA-MTMM Model in Comparative Analysis of 5-, 7-, 9-, and 11-point A/D Scales
Biasing Effects of Non-Representative Samples of Quasi-Orders in the Assessment of Recovery Quality of IITA-Type Item Hierarchy Mining
Correlated Component Regression: Profiling Student Performances by Means of Background Characteristics
Analysing Psychological Data by Evolving Computational Models
Collaborative LiteratureWork in the Research Publication Process: The Cogeneration of Citation Networks as Example
Subject Indexing of Textbooks: Challenges in the Construction of a Discovery System
The Ofness and Aboutness of Survey Data: Improved Indexing of Social Science Questionnaires
Subject Indexing for Author Name Disambiguation: Opportunities and Challenges
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